Can I Run GLM-5 / GLM-5.1 on NVIDIA A100 80GB (PCIe)?
作者： Jakub Rusinowski · 最后更新： 2026年7月21日
No — GLM-5 744B at Q4_K_M needs 455.2 GB at 8K context (449.2 GB weights + 6 GB KV cache/overhead), and the NVIDIA A100 80GB (PCIe)'s 80 GB leaves it ~375.2 GB short.
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NVIDIA A100 80GB (PCIe) Specs
| VRAM | 80 GB |
| Memory Bandwidth | 1935 GB/s |
GLM-5 744B on the NVIDIA A100 80GB (PCIe): VRAM by quantization
| Quant | VRAM needed | Fits 80 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 1494 GB | ✗ No | — | — |
| Q8_0 | 796.5 GB | ✗ No | — | — |
| Q6_K | 616.1 GB | ✗ No | — | — |
| Q5_K_M | 533.3 GB | ✗ No | — | — |
| Q4_K_M | 455.2 GB | ✗ No | — | — |
| Q3_K_M | 323.2 GB | ✗ No | — | — |
| Q2_K | 250.6 GB | ✗ No | — | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 80 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA A100 80GB (PCIe): 8K 455.2 GB ✗ · 32K 470.9 GB ✗ · 128K 533.7 GB ✗. Past 8K it no longer fits 80 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? GLM-5 744B on 256 GB of system RAM, CPU only: still does not fit.
Why It Does Not Fit
Every GLM-5 / GLM-5.1 variant requires more VRAM than the NVIDIA A100 80GB (PCIe) provides (80 GB).
GLM-5 / GLM-5.1 needs ~455 GB but this GPU has 80 GB. Rent a 8× H100 (640 GB)-class GPU by the hour instead of buying one:
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FAQ
Will GLM-5 / GLM-5.1 run on the NVIDIA A100 80GB (PCIe)?
No — GLM-5 744B at Q4_K_M needs 455.2 GB at 8K context (449.2 GB weights + 6 GB KV cache/overhead), and the NVIDIA A100 80GB (PCIe)'s 80 GB leaves it ~375.2 GB short.
GLM-5 / GLM-5.1 on Other GPUs
- GLM-5 / GLM-5.1 on NVIDIA H100 80GB (PCIe)
- GLM-5 / GLM-5.1 on Apple M2 Max
- GLM-5 / GLM-5.1 on Apple M1 Max
- GLM-5 / GLM-5.1 on Apple M5 Pro
- GLM-5 / GLM-5.1 on NVIDIA RTX PRO 6000 Blackwell
Popular Models on the NVIDIA A100 80GB (PCIe)
VRAM Tier
Troubleshooting
- CUDA out of memory — why it happens and how to fix it
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
← Can I Run It? | GLM-5 / GLM-5.1 Model Page | NVIDIA A100 80GB (PCIe) GPU Page | VRAM calculator | Check Your Hardware